Published in
Elsevier, Computers and Electronics in Agriculture, (170), p. 105280, 2020
DOI: 10.1016/j.compag.2020.105280
Links
Tools
Predicting the hydrological response of a forest after wildfire and soil treatments using an Artificial Neural Network
Journal article published in 2020 by
Demetrio Antonio Zema,
Manuel Esteban Lucas-Borja,
Lidia Fotia,
Domenico Rosaci,
Giuseppe M. L. Sarnè,
Santo Marcello Zimbone 
This paper was not found in any repository, but could be made available legally by the author.
Full text: Unavailable
Postprint:
archiving forbidden
Published version:
archiving forbidden
Data provided by 